Big spam -e -mailwaarschuwing -AI now generates almost all your junkye -e -mail
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- Researchers compared pre-gpt era-spam, with those who came afterwards
- Most spam messages are nowadays AI-regenerated
- Bec -e -Mails require more precision
Most spam -e emails sent today are written by generative artificial intelligence (Genai), has claimed new research.
A report from Barracuda has claimed that cyber criminals do not use AI to change their attack tactics, but rather to refine them and to make them more difficult to recognize.
The study compared e -mails that were sent before the rise of chatgpt (pre -November 2022), with those sent afterwards, and noticed an important change -namely criminals usually use genai in spam.
Increasing credibility
By April 2025, 51% of the spam -e -emails were generated by an AI, instead of a person, they determined.
“The majority of the E -Mails Currently in the average junk/spam folder are probably written by a large language model (LLM), ”she explained
On the other hand, criminals do not seem to be the case to use AI to use AI in business e -mail compromises (BEC) attacks. According to the researchers, these types of attacks include precision and they usually focus on a senior person in an organization. As a result, by April 2025, only 14% of the BEC attacks were generated by an AI.
As you would expect, AI-generated messages are better written. They have a higher level of formality, fewer grammar errors and more linguistic refinement. That is why they seem more credible and more professional for the victims, which means they increase the chance that they will fall prey.
It also means that cyber attacks whose mother tongue is not English will have an easier time to focus companies in English -speaking countries. Finally, Crooks AI seem to use to test a/b different spam variants, try to determine which formulation variations perform better in real-life environments.
The best way to defend against AI generated spam messages is with AI-driven e-mail protection solutions. In the pre-GPT era one could see phishing and spam by simply the e-mail to test-reading these messages were usually filled with spelling and grammar errors, while the language was usually rough and out of character.
Since AI eliminated these red flags, an advanced e-mail protection solution, equipped with multi-layered, AI/ml-for-written detection, “crucial”, the researchers concluded.
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